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lstm-neural-networks

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This project showcases a comprehensive method for predicting stock prices using an LSTM neural network. It includes fetching historical stock data, preprocessing it, building and training the LSTM model, making predictions, and visualizing outcomes. The main goal is to precisely forecast stock prices utilizing historical data.

  • Updated May 31, 2024
  • Jupyter Notebook

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